Improved Lexical Acquisition through DPP-based Verb Clustering
Code (0)
등록된 구현이 없습니다.
Tasks
ClusteringPoint ProcessesSemantic Role LabelingWord Sense DisambiguationSimilar Papers 제목 키워드 기반
A Framework for Automatic Acquisition of Croatian and Serbian Verb Aspect from Corpora
Verb aspect is a grammatical and lexical category that encodes temporal unfolding and duration of events described by verbs. It is a potentially interesting source of information for various computational tasks, but has …
General ClassificationCriteria for Identifying and Annotating Caused Motion Constructions in Corpus Data
While natural language processing performance has been improved through the recognition that there is a relationship between the semantics of the verb and the syntactic context in which the verb is realized, sentences wh…
SentenceSemEval-2019 Task 2: Unsupervised Lexical Frame Induction
This paper presents Unsupervised Lexical Frame Induction, Task 2 of the International Workshop on Semantic Evaluation in 2019. Given a set of prespecified syntactic forms in context, the task requires that verbs and thei…
ClusteringTask 2Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction
We present a novel methodology for fast bottom-up creation of large-scale semantic similarity resources to support development and evaluation of NLP systems. Our work targets verb similarity, but the methodology is equal…
ClusteringSemantic SimilaritySemantic Textual SimilarityWord SimilarityFeature-rich multiplex lexical networks reveal mental strategies of early language learning
Knowledge in the human mind exhibits a dualistic vector/network nature. Modelling words as vectors is key to natural language processing, whereas networks of word associations can map the nature of semantic memory. We re…
Language AcquisitionSentence